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Noticias de IA

27413 elementos — filtrados, clasificados y sin duplicados

Hugging Face Daily Papers Research & Papers
MANCE: Manifold Aware Concept Erasure
Hugging Face Daily Papers Research & Papers
CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-centric 3D Scene Generat…
Hugging Face Daily Papers Research & Papers
Who Gets Missed in the Tail? Thresholded Subgroup Underdiagnosis in Long-Tailed Chest X-r…
Hugging Face Daily Papers Research & Papers
ProACT: Towards Breakdown-Aware Proactive Agent in Multi-User Collaboration
Hugging Face Daily Papers Research & Papers
An Interpretable Deep Learning Framework for Discovery and Clinical Validation of Deep Ra…
Hacker News (AI filter) Research & Papers
AI saves about 3% of your hours, and almost none of it reaches the money
Google DeepMind Research & Papers
Google DeepMind and A24 announce first-of-its-kind research partnership
arXiv cs.AI Research & Papers
McMg: A Learned Phase-Space Multi-channel Multigrid Preconditioner for Helmholtz Equation
arXiv cs.AI Research & Papers
DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for…
arXiv cs.AI Research & Papers
From Experiments to Expertise: Scientific Knowledge Consolidation for AI-Driven Computati…
arXiv cs.AI Research & Papers
Restoring Linguistic Grounding in VLA Models via Train-Free Attention Recalibration
arXiv cs.AI Research & Papers
Adaptive Batch Sizes Using Non-Euclidean Gradient Noise Scales for Stochastic Sign and Sp…
arXiv cs.AI Research & Papers
ThreadWeaver: Adaptive Threading for Efficient Parallel Reasoning in Language Models
arXiv cs.AI Research & Papers
Pre-Flight: A Benchmark for Evaluating Large Language Models on Aviation Operational Know…
arXiv cs.AI Research & Papers
Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning
arXiv cs.AI Research & Papers
Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Inter…
arXiv cs.AI Research & Papers
TestEvo-Bench: An Executable and Live Benchmark for Test and Code Co-Evolution
arXiv cs.AI Research & Papers
MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision …
arXiv cs.AI Research & Papers
Safety Testing LLM Agents at Scale: From Risk Discovery to Evidence-Grounded Verification
arXiv cs.AI Research & Papers
Verifiable Knowledge Expansion through Retrieval-Grounded Formal Concept Analysis
arXiv cs.AI Research & Papers
Repair the Amplifier, Not the Symptom: Stable World-Model Correction for Agent Rollouts
arXiv cs.AI Research & Papers
Mastermind: Strategy-grounded Learning for Repository-Scale Vulnerability Reproduction
arXiv cs.AI Research & Papers
Meta-Benchmarks for Financial-Services LLM Evaluation
arXiv cs.AI Research & Papers
Atomic Task Graph: A Unified Framework for Agentic Planning and Execution
arXiv cs.AI Research & Papers
Reformalization of the Jordan Curve Theorem
arXiv cs.AI Research & Papers
Distributionally Robust Listwise Preference Optimization
arXiv cs.AI Research & Papers
COMFYCLAW: Self-Evolving Skill Harnesses for Image Generation Workflows
arXiv cs.AI Research & Papers
Epistemic Goggles: A Pretrained Module that Induces an Epistemic Frame via Gradient Editi…
arXiv cs.AI Research & Papers
Separating Expert Retention from Autonomous Source Inference in Raw-ECG-Replay-Free Conti…
arXiv cs.AI Research & Papers
Diverse Evidence, Better Forecasts: Multi-Agent Deliberation Under Information Asymmetry